Marcos Treviso (mtreviso)

mtreviso

Geek Repo

Company:Instituto de Telecomunicações

Location:Lisbon

Home Page:https://mtreviso.github.io/

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Marcos Treviso's repositories

linear-chain-crf

Implementation of a linear-chain CRF in PyTorch

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deepbond

Deep neural approach to Boundary and Disfluency Detection - Based on my Master's work

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pytorch-lecture

Introductory lecture on Pytorch

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deeptagger

Part-of-speech tagger

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chunked-t5

T5 with parallel forced decoding

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acl_to_arxiv

Scripts to submit a paper using ACL template, including anthology.bib, to arxiv.

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extract-wiki

A simple tool to extract wiki articles, clean and save them in a single large txt file.

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neural-machine-translation

Experiments for neural machine translation

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torchnilc

Minicurso de como implementar modelos neurais para PLN usando o PyTorch

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pelesent

Source code to https://arxiv.org/pdf/1707.02657.pdf

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COMET

A Neural Framework for MT Evaluation

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entmax

The entmax mapping and its loss, a family of sparse softmax alternatives.

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gensim

Topic Modelling for Humans

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interpretable_predictions

Interpretable Neural Predictions with Differentiable Binary Variables

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krippendorff-alpha

Python implementation of Krippendorff's alpha that supports multilabel data -- inter-rater reliability

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learning-scaffold

This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"

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lxmls-toolkit

Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School

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mtreviso.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

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old-website

http://mtreviso.github.io

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sparse-structured-attention

Sparse and structured neural attention mechanisms

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sparse_gpt2

Simple implementation of GPT-2 with sparse attention mechanism

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state-spaces

Sequence Modeling with Structured State Spaces

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text

Data loaders and abstractions for text and NLP

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TextRankerJS

TextRankerJS is a fully client-side JavaScript tool for ranking texts generated by different methods. Designed for human annotation studies, it offers an intuitive drag-and-drop interface, pagination, and local storage for data persistence.

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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tweet-analyzer

Tweet Analyzer for Brazilian Portuguese: a simple PyTorch tool to analyze tweets based on TweetSentBR.

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university

Undergraduate in Computer Science

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